Citation

Iasemidis LD. Neurosurg. Clin. N. Am. 2011; 22(4): 489-506.

Affiliation

The Harrington Department of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, PO Box 879709, Tempe, AZ 85287-9709, USA; Department of Electrical Engineering, School of Electrical, Computer and Energy Engineering, Arizona State University, PO Box 875706, Tempe, AZ 85287-5706, USA; Department of Neurology, Mayo Clinic, 5777 East Mayo Boulevard, Phoenix, AZ 85054, USA.

Copyright

(Copyright © 2011, Elsevier Publishing)

DOI

10.1016/j.nec.2011.07.004

PMID

21939848

PMCID

PMC3237404

Abstract

Epilepsy is characterized by intermittent, paroxysmal, hypersynchronous electrical activity that may remain localized and/or spread and severely disrupt the brain's normal multitask and multiprocessing function. Epileptic seizures are the hallmarks of such activity. The ability to issue warnings in real time of impending seizures may lead to novel diagnostic tools and treatments for epilepsy. Applications may range from a warning to the patient to avert seizure-associated injuries, to automatic timely administration of an appropriate stimulus. Seizure prediction could become an integral part of the treatment of epilepsy through neuromodulation, especially in the new generation of closed-loop seizure control systems.

Language: en